Business models with AI: how to create a digital product that generates revenue with artificial intelligence

Introduction

Artificial intelligence is no longer just a trend and has become an essential part of digital business models. With tools like GPT, generative AI and intelligent automation, entrepreneurs are creating scalable and highly profitable products—even without huge teams or large investments.

In this article, you will discover how to create a digital product with AI, understand the most promising monetization models and see real examples that are already generating revenue in the market.

Why invest in products with artificial intelligence?

Creating a digital business based on AI allows you to:

• Drastically reduce operational costs with automation
• Offer personalized solutions at scale
• Create products with high perceived value and excellent profit margins
• Enter markets with growing demand, such as customer service, content, productivity and data analysis

Most used business models with AI

Let's analyze the main formats adopted by those who are undertaking with artificial intelligence:

Model	Description	Example
SaaS with GPT	Platforms that use AI to offer recurring services	Content generator, automatic summary, intelligent customer service
APIs with added value	Interfaces for using AI in third-party systems	AI-powered audio transcription API, content moderation
Bots and assistants	Conversational interfaces based on AI	WhatsApp bot for automated orders
Internal tools	Software for internal use that increases efficiency	Sales dashboard with automatic insights

Real examples of products with AI

1. Social media text generator

Based on the GPT API, it's possible to create a platform that helps companies and content creators generate optimized posts with one click. Some of these SaaS earn more than R$ 10,000/month with few paying users.

2. Automated customer service tools

Bots integrated with WhatsApp and Telegram, with AI trained on frequently asked questions, are highly valued by small businesses that want 24/7 service.

3. AI as an internal service

Companies that create on-demand solutions for their own use (or for fixed clients), such as automatic dashboards, internal translators, or sentiment analysis, are quickly gaining competitive advantage.

Strategies to validate your idea with AI

Before investing heavily in development, it's possible to validate your idea at low cost using:

• Prototypes made with n8n, Make or Bubble
• MVPs connecting GPT API with simple interfaces
• Landing pages that explain the proposal and collect emails from interested parties

Practical recommendations to get started

• Choose a specific problem that is validated in the market
• Use AI as a complement to the solution, not as the focus
• First build the MVP with low-code tools
• Monetize early with simple plans (ex: monthly subscription, usage package or consulting)

Conclusion: AI is the engine of new digital businesses

Creating products with AI is not just for large companies. With accessible tools and agile strategies, any entrepreneur can launch a profitable business with artificial intelligence.

If you have an idea and are willing to validate it with real tests, AI can be the differentiator that transforms your project into a scalable source of revenue.

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